Charm Security - Applied AI Researcher
Team8
שכר לא צויןTel Aviv, Israel, Tel Aviv-Yafo, Israel, מהמשרדמידמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 9 שעות
Build and evaluate AI agents and models for fraud investigation, frontline guidance, and threat intelligence. Apply research to real-time fraud prevention systems used by fraud teams at major North American banks.
מה תעשו
- Design, build, and evaluate AI agents for fraud investigation, frontline guidance, and threat intelligence.
- Adapt and fine-tune LLMs to recognize intent, deception, and coercion in real conversations.
- Build scalable, real-time pipelines that turn behavioral signals, case data, and customer alerts into decisions for AI agents.
- Optimize AI models for latency, accuracy, and adaptability in high-volume fraud prevention.
- Use coding agents and AI tools to prototype, experiment, and ship.
- Implement recent advances in LLMs, ML, and AI research.
דרישות
- 4+ years of experience in Data Science, AI, or NLP.
- MSc in Computer Science, Machine Learning, Engineering, Mathematics, or a related field.
- Strong experience with agentic techniques and ML tooling.
- Hands-on experience building, evaluating, and shipping AI agents.
- Experience taking a product from ideation to production and owning it end to end.
- Fluency with AI-assisted development tools, including coding agents and LLM tooling.
יתרון
- Background in cybersecurity, threat intelligence, fraud, or financial crime AI.
- Experience with RAG, vector databases, or AI-driven search.
- Experience with financial institutions or regulated, enterprise-scale data environments.
- Familiarity with privacy-preserving AI or federated learning.
תנאי סף
- 4+ years of experience in Data Science, AI, or NLP
- MSc in a related field
- Hands-on experience building, evaluating, and shipping AI agents
- Fluency with AI-assisted development tools in day-to-day work
LLMsAI agentsMachine LearningNLPRAGVector databasesFraud detectionAI-assisted development